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Multivariate forecasting in rapidminer
I am fairly new to Rapidminer and data science in general.
I am working on a small project in context of a postgraduate and I would like to build a time series model on monthly consumption data (dataset 1) but I would like to add another external source (dataset 2), also monthly aggregated, which influences the consumption.
I have seen this is called multivariate forecasting but how could I build such a model in Rapidminer?